Publications

(2020). Complexity results for probabilistic answer set programming. International Journal of Approximate Reasoning.
(2020). A Contact Network-Based Approach for Online Planning of Containment Measures for COVID-19. Anais do XVII Encontro Nacional de Inteligência Artificial e Computacional.
(2019). The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws. International Journal of Approximate Reasoning.
(2019). Speeding up parameter and rule learning for acyclic probabilistic logic programs. International Journal of Approximate Reasoning.
(2019). Robust Analysis of MAP Inference in Selective Sum-Product Networks. Proceedings of the 11th International Symposium on Imprecise Probabilities: Theories and Applications.
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(2019). Exploring the Space of Probabilistic Sentential Decision Diagrams. 3rd Tractable Probabilistic Modeling Workshop.
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(2019). End-To-End Imitation Learning of Lane Following Policies Using Sum-Product Networks. Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional.
(2019). Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence.
(2018). The Finite Model Theory of Bayesian Networks: Descriptive Complexity. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence.
(2018). When a Robot Reaches Out for Human Help. Advances in Artificial Intelligence: Proceedings of the 16th Ibero-American Conference on Artificial Intelligence.
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